Multiple imputation using 'XGBoost', subsampling, and predictive mean matching as described in Deng and Lumley (2023) <doi:10.1080/10618600.2023.2252501>. The package supports various types of variables, offers flexible settings, and enables saving an imputation model to impute new data. Data processing and memory usage have been optimised to speed up the imputation process.
Version: 1.5.3 Depends: R (≥ 3.6.0) Imports: data.table, Matrix, mice, Rcpp, Rfast, stats, utils, xgboost (≥ 1.7.5.1), magrittr LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-04-06 DOI: 10.32614/CRAN.package.mixgb Author: Yongshi Deng [aut, cre], Thomas Lumley [ths] Maintainer: Yongshi Deng <agnes.yongshideng at gmail.com> BugReports: https://github.com/agnesdeng/mixgb/issues License: GPL (≥ 3) URL: https://github.com/agnesdeng/mixgb NeedsCompilation: yes Citation: mixgb citation info Materials: NEWS CRAN checks: mixgb results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mixgb to link to this page.
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